import plotly
plotly.offline.init_notebook_mode()
import cufflinks as cf
cf.go_offline()
cf.set_config_file(theme='pearl')
from plotly.graph_objs import Bar,Layout, Figure,Data,Scattermapbox,Marker,Scatter,Box,Histogram,Heatmap

import pandas as pd
import numpy as np

Heatmap

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv')

df.head(2)

	V1	V2	V3	V4	V5	V6	V7	V8	V9	V10	...	V52	V53	V54	V55	V56	V57	V58	V59	V60	V61
0	100	100	101	101	101	101	101	100	100	100	...	107	107	107	106	106	105	105	104	104	103
1	101	101	102	102	102	102	102	101	101	101	...	108	108	107	107	106	106	105	105	104	104

2 rows × 61 columns

data = [Heatmap( z=df.values.tolist(),colorscale='Viridis') ]
plotly.offline.iplot(Figure(data=data))

df.iplot(kind='heatmap',colorscale='spectral')

df=cf.datagen.heatmap(20,20)

df.head()

	y_0	y_1	y_2	y_3	y_4	y_5	y_6	y_7	y_8	y_9	y_10	y_11	y_12	y_13	y_14	y_15	y_16	y_17	y_18	y_19
x_0	60.000000	60.751740	58.876329	62.907059	62.007645	65.385485	60.178262	74.903381	76.761439	78.299003	76.244634	73.005984	75.883900	79.044599	78.598650	86.113891	85.828111	86.798740	90.999813	89.081035
x_1	60.209767	58.731490	54.813774	59.269262	55.266297	68.517007	62.374640	63.306920	63.024396	62.373624	58.443993	60.151039	65.595773	57.140635	46.996946	56.944762	56.851105	58.383069	59.175649	58.128873
x_2	59.327772	62.513094	62.289930	71.133791	66.150323	71.527927	73.190999	79.097087	67.489306	66.812027	63.869408	64.610096	63.572255	67.862135	75.014604	74.094976	68.991795	66.996785	68.322241	69.196241
x_3	59.875628	78.393646	88.507133	94.227639	74.832903	75.822015	76.019730	81.508720	101.648276	104.141594	108.648596	103.307211	101.335964	101.575008	99.123544	100.316165	91.520672	90.284436	89.470490	90.818625
x_4	63.982301	70.855883	73.547791	74.264759	79.874016	80.366546	84.795854	87.209646	74.363317	75.076650	77.257574	81.065882	78.384294	84.734918	77.586872	74.006735	74.602682	71.808755	77.196569	66.343569

df.iplot(kind='heatmap',colorscale='spectral')